2017 Evolving and Adaptive Intelligent Systems (EAIS)最新文献_第2页

Evolving fuzzy model in fault detection system 故障检测系统中的演化模糊模型

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954828

D. Dovžan

引用次数: 2

Robust evolving control of a two-tanks pilot plant 双罐中试装置的鲁棒演化控制

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954829

G. Andonovski, B. Costa

引用次数: 1

Self-evolving kernel recursive least squares algorithm for control and prediction 自进化核递归最小二乘算法的控制和预测

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954837

Zhao-Xu Yang, Hai-Jun Rong, Guangshe Zhao, Jing Yang

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引用次数: 1

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems 基于余弦相似度的监测网络系统演化柯西可能聚类

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954825

I. Škrjanc, A. Sanchis, J. A. Iglesias, Agapito Ledezma, D. Dovžan

引用次数: 4

Introduction of adaptive TS model using recursive Gustafson-Kessel algorithm in short term load forecasting 介绍了基于递归Gustafson-Kessel算法的自适应TS模型在短期负荷预测中的应用

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954822

G. Černe

引用次数: 0

Estimation of moving agents density in 2D space based on LSTM neural network 基于LSTM神经网络的二维空间移动主体密度估计

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954842

Marsela Polic, Ziad Salem, Karlo Griparic, S. Bogdan, T. Schmickl

{"title":"Estimation of moving agents density in 2D space based on LSTM neural network","authors":"Marsela Polic, Ziad Salem, Karlo Griparic, S. Bogdan, T. Schmickl","doi":"10.1109/EAIS.2017.7954842","DOIUrl":"https://doi.org/10.1109/EAIS.2017.7954842","url":null,"abstract":"As a part of ASSISIbf project, with a final goal of forming a collective adaptive bio-hybrid society of animals and robots, an artificial neural network based on LSTM architecture was designed and trained for bee density estimation. During experiments, the bees are placed inside a plastic arena covered with wax, where they interact with and adapt to specialized static robotic units, CASUs, designed specially for this project. In order to interact with honeybees, the CASUs require the capability i) to produce and perceive the stimuli, i.e., environmental cues, that are relevant to honeybee behaviour, and ii) to sense the honeybees presence. The second requirement is implemented through 6 proximity sensors mounted on the upper part of CASU. In this paper we present estimation of honeybees (moving agents) density in 2D space (experimental arena) that is based on LSTM neural network. When compared to previous work done in this field, experiments demonstrate satisfactory results in estimating sizes of bee groups placed in the arena within a larger scope of outputs. Two different approaches were tested: regression and classification, with classification yielding higher accuracy.","PeriodicalId":286312,"journal":{"name":"2017 Evolving and Adaptive Intelligent Systems (EAIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116838203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Combining evolutionary algorithms and case-based reasoning for learning high-quality shooting strategies in AI birds 结合进化算法和基于案例推理的人工智能鸟类高质量射击策略学习

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954840

Suleyman Gemici, T. Gabel, Benjamin Loffler, A. Tharwat

引用次数: 0

Nonlinear Quadratic Estimator with selective error state weighting 具有选择性误差状态加权的非线性二次估计器

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954827

Eckhard Gauterin, F. Pöschke, Nico Goldschmidt, H. Schulte

引用次数: 0

Evolving principal component clustering for 2-D LIDAR data 二维激光雷达数据的演化主成分聚类

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954834

Matevž Bošnak

引用次数: 2

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset 利用地震信号监测火山活动:一个真实数据集的描述

2017 Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2017-05-01 DOI: 10.1109/EAIS.2017.7954838

Jose Eduardo Gomez, David Camilo Corrales, J. Corrales, A. Sanchis, Agapito Ledezma, J. A. Iglesias

引用次数: 1